Probably Genetic
Senior Data Scientist
San Francisco · Senior
Sponsorship not specified$180k-$230kDetected 48 days ago
PythonSQLDatabricksMachine Learningscikit-learnPandasNumPyData AnalysisData EngineeringData ScienceNLPMLOpsClinical TrialsClinical ResearchBioinformaticsResearchCommunication
About the role
- We are looking for a Senior Data Scientist who will own some of the most consequential diagnostic
- We are looking for a Senior Data Scientist who will own some of the most consequential diagnostic AI in rare disease: building, validating, and operationalizing the models that help us find and diagnose patients who have never had a name for their disease, powering the analytical rigor behind our testing programs, and shaping how we use data to make smarter product decisions.
Responsibilities
- Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models - from feature engineering through production deployment - that power program eligibility decisions and clinical decisions for patients
- Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle
- Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion
- Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring
- Work with Data Engineering to build a robust, scalable data foundation that supports all of the above
- Our data platform is used by drug developers and patient advocacy groups to develop and launch treatments for these patients.
Requirements
- Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL
- Demonstrated end-to-end ML experience: you have taken models from problem definition through feature engineering, validation, deployment, and monitoring in a production environment
- Experience with NLP techniques and applying language models to real-world problems
- Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI)
- Strong analytical communication skills - you can translate complex model outputs and data findings into clear, actionable narratives for technical and non-technical audiences alike
- Some things that are not required, but you will learn on the job:
- Experience with Databricks or similar lakehouse/ML platform environments
- Familiarity with synthetic data generation techniques
- Experience with MLOps tooling and building observability infrastructure from scratch
Compensation
- The salary range for this role is $180,000-$230,000 annually.
Benefits
- Fair and equitable compensation with competitive early-stage equity grants
- Generous Flexible Time off policy, that we actually use
- Parental Leave Benefits (12 weeks for both birthing and non-birthing)
- Health Benefits including medical, dental, vision, therapy, FSA, and 401k
- Our technology discovers undiagnosed patients online, analyzes their disease state using machine learning and at-home testing, and enables compliant communication with patients.
- Hybrid, flexible work with high-trust and autonomy
Company info
- We are looking for a few specific things that will help you succeed in this role:
- We are a tight-knit group of hard-working, ambitious problem solvers united by a mission greater than ourselves.
Apply directly at Probably Genetic →Create a free account for alerts like thisView Probably Genetic immigration profile
This listing is sourced directly from Probably Genetic's careers page and normalized into a canonical job model.